OpenAI revenue growth lags Anthropic as losses mount ahead of potential IPO

OpenAI reported $6.7 billion in Q2 2026 revenue, up 18% from Q1, but its net loss deepened to $12.3 billion as operating margins worsened. Meanwhile, Anthropic posted $11.6 billion in revenue with a $559 million operating profit, widening the competitive gap. For AI builders evaluating model providers, the numbers highlight how cost structure and pricing strategy are becoming decisive factors in vendor selection.

OpenAI's revenue growth slows as losses accelerate

OpenAI generated $6.7 billion in sales in the quarter ending June, up from $5.7 billion in Q1. But its operating loss climbed to $12.3 billion from $9.3 billion, meaning losses are expanding faster than revenue. The company has raised roughly $180 billion in funding, much of it spent on data centers and cloud contracts with providers like Nvidia and Oracle.

OpenAI told investors privately that growth accelerated after a July model release, but provided no numbers to back that claim. The company also launched a super app integrating ChatGPT, Codex, and an AI-native browser, which it says is growing fast. However, ChatGPT's growth has stalled overall, and the company has lost several senior executives, including Chief Revenue Officer Denise Dresser, former COO Brad Lightcap, and Fidji Simo.

Anthropic's operating profit signals a different cost model

Anthropic reported $11.6 billion in Q2 revenue with a $559 million operating profit, its first. The company attributes the profitability to more efficient use of computing resources. Earlier in 2026, Anthropic surpassed OpenAI in business AI adoption for the first time, according to Ramp data, and its coding tool Claude Code generates nearly $2.5 billion in annualized revenue versus Codex's $1 billion.

Anthropic's revenue trajectory has been steep: it went from $1 billion to an estimated $30 billion annual run rate in 15 months. Both companies filed confidential IPO paperwork in June, setting up a race to go public.

What this means for AI builders and enterprise buyers

For teams building on AI APIs, the diverging financials have practical implications. OpenAI's losses are partly driven by subsidizing free users and lowering prices on new models to win enterprise deals. That pricing pressure may continue, but it also raises questions about long-term sustainability if OpenAI cannot accelerate growth to meet its massive infrastructure commitments.

Anthropic's profitability suggests it can invest in model improvements without the same level of financial risk. For builders, this could mean more stable pricing, better support, and continued investment in developer tools like Claude Code. The shift in enterprise adoption toward Anthropic also signals that buyers are prioritizing cost efficiency and specialized coding capabilities over brand recognition.

Caveats and open questions

The financial figures come from undisclosed sources familiar with the companies' finances, as reported by the Wall Street Journal and SiliconANGLE. Anthropic is private and did not disclose how it calculated its operating profit. OpenAI's claim of accelerated growth in July is unverified. Both companies face risks from open-source alternatives and enterprise budget caution. The IPO timeline remains uncertain, and market conditions could change the narrative quickly.